CoMMA, a Large-scale Corpus of Multilingual Medieval Archives

Thibault Clérice; Simon Gabay; Malamatenia Vlachou-Efsthatiou; Ariane Pinche; Benoît Sagot

doi:10.63317/5pjzh8ma5v76

CoMMA, a Large-scale Corpus of Multilingual Medieval Archives

Thibault Clérice, Simon Gabay, Malamatenia Vlachou-Efsthatiou, Ariane Pinche, Benoît Sagot

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Abstract

We present CoMMA, a large-scale corpus of medieval manuscripts produced through automatic text recognition. The corpus contains around 2.5b tokens drawn from more than 23,000 digitized manuscripts in Latin and Old French, harvested via IIIF. Unlike other resources, it is made of raw, non-normalized text enriched with layout analysis in various formats. We describe the pipeline used for large-scale acquisition and processing, and report quantitative and qualitative evaluations (average CER 9.7%). The resulting resource supports multiple use cases, from pretraining language models to corpus linguistic on historical languages and digital humanities applications.

Anthology ID:: 2026.lrec-1.560
Volume:: Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:: May
Year:: 2026
Address:: Palma de Mallorca, Spain
Editors:: Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:: LREC
SIG:
Publisher:: ELRA Language Resource Association
Note:
Pages:: 7034–7045
Language:
External URL:: https://lrec.elra.info/lrec2026-main-560
DOI:: 10.63317/5pjzh8ma5v76
Bibkey:
Cite (ACL):: Thibault Clérice, Simon Gabay, Malamatenia Vlachou-Efsthatiou, Ariane Pinche, and Benoît Sagot. 2026. CoMMA, a Large-scale Corpus of Multilingual Medieval Archives. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 7034–7045, Palma de Mallorca, Spain. ELRA Language Resource Association.
Cite (Informal):: CoMMA, a Large-scale Corpus of Multilingual Medieval Archives (Clérice et al., LREC 2026)
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@inproceedings{clerice-etal-2026-comma,
    title = "{C}o{MMA}, a Large-scale Corpus of Multilingual Medieval Archives",
    author = "Cl{\'e}rice, Thibault  and
      Gabay, Simon  and
      Vlachou-Efsthatiou, Malamatenia  and
      Pinche, Ariane  and
      Sagot, Beno{\^i}t",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://aclanthology.org/2026.lrec-1.560/",
    doi = "10.63317/5pjzh8ma5v76",
    pages = "7034--7045",
    abstract = "We present CoMMA, a large-scale corpus of medieval manuscripts produced through automatic text recognition. The corpus contains around 2.5b tokens drawn from more than 23,000 digitized manuscripts in Latin and Old French, harvested via IIIF. Unlike other resources, it is made of raw, non-normalized text enriched with layout analysis in various formats. We describe the pipeline used for large-scale acquisition and processing, and report quantitative and qualitative evaluations (average CER 9.7{\%}). The resulting resource supports multiple use cases, from pretraining language models to corpus linguistic on historical languages and digital humanities applications."
}

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%0 Conference Proceedings
%T CoMMA, a Large-scale Corpus of Multilingual Medieval Archives
%A Clérice, Thibault
%A Gabay, Simon
%A Vlachou-Efsthatiou, Malamatenia
%A Pinche, Ariane
%A Sagot, Benoît
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F clerice-etal-2026-comma
%X We present CoMMA, a large-scale corpus of medieval manuscripts produced through automatic text recognition. The corpus contains around 2.5b tokens drawn from more than 23,000 digitized manuscripts in Latin and Old French, harvested via IIIF. Unlike other resources, it is made of raw, non-normalized text enriched with layout analysis in various formats. We describe the pipeline used for large-scale acquisition and processing, and report quantitative and qualitative evaluations (average CER 9.7%). The resulting resource supports multiple use cases, from pretraining language models to corpus linguistic on historical languages and digital humanities applications.
%R 10.63317/5pjzh8ma5v76
%U https://aclanthology.org/2026.lrec-1.560/
%U https://doi.org/10.63317/5pjzh8ma5v76
%P 7034-7045

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Markdown (Informal)

[CoMMA, a Large-scale Corpus of Multilingual Medieval Archives](https://aclanthology.org/2026.lrec-1.560/) (Clérice et al., LREC 2026)

CoMMA, a Large-scale Corpus of Multilingual Medieval Archives (Clérice et al., LREC 2026)

ACL

Thibault Clérice, Simon Gabay, Malamatenia Vlachou-Efsthatiou, Ariane Pinche, and Benoît Sagot. 2026. CoMMA, a Large-scale Corpus of Multilingual Medieval Archives. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 7034–7045, Palma de Mallorca, Spain. ELRA Language Resource Association.